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Owl.co empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are on a mission to integrate state-of-the-art ML and NLP methods to transform this traditionally manual activity into a fair process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.

We’re currently seeking a Multimodal AI Engineer (NLP) to play a key role in advancing our core intelligence capabilities. In this position, you’ll collaborate closely with cross-functional teams to design, implement, and optimize systems that are reshaping how insurers detect and handle illegitimate claims.

Responsibilities:

Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
Train, evaluate and deploy DL models that enable Owl products.
Conduct and collaborate on research projects that advance product capabilities.

Required Qualifications

Bachelor’s degree in Computer Science or relevant technical field.
2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Experience in utilizing Generative AI technology and model finetuning (instruct tuning, SFT, RLHF, etc.).
Experience communicating research for public audiences or peers.

’Nice-to-Haves’:

PhD in computer vision and/or machine learning or related areas.
First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
4+ year(s) of work experience in an industry, university, or government lab.

Join us at Owl.co and be part of a dynamic team driving innovation in the insurance industry. If you’re passionate about leveraging AI to tackle real-world challenges and eager to make a meaningful impact, we’d love to hear from you.

Benefits:

Medical: 100% paid medical, dental, and vision coverage
Pension: 401K matching
Short & long-term disability
Recharge: 4 weeks of paid time off, 10 public holidays & 5 additional sick days
Personal development: $1,200/year toward your fitness expenses, favorite activities, or professional development
Hybrid working environment
Weekly team lunches in the office

Salary Range: $150,000 - $230,000

Our salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.

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